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Imaging in Clinical TrialsMonday - 7/15/2019 
Multi-Disciplinary Scientific Session4:30 PM - 6:00 PMRoom: Stars at Night Ballroom 2-3

Moderator: Martha Matuszak, University of Michigan

Moderator: Yevgeniy Vinogradskiy, University of Colorado Denver

Monday
4:30 PM
MO-K-SAN2-1 : Automatic Detection of Contouring Errors Using Convolutional Neural Networks
D.Rhee*C.CardenasH.ElhalawaniR.McCarrollL.ZhangJ.Yang
B.BeadleL.Court
Monday
4:40 PM
MO-K-SAN2-2 : BEST IN PHYSICS (MULTI-DISCIPLINARY): Predictive Capability of 18F-FDG PET/CT Imaging On Tumor Voxel Dose Response
S.Chen*D.KraussD.Yan
Monday
5:00 PM
MO-K-SAN2-3 : Evaluation of Functional Avoidance Treatment Planning Tradeoffs in a Response Based Adaptive Lung Clinical Trial
N.Baughan*D.JaremaR.Ten HakenR.DessS.JollyM.Matuszak
Monday
5:10 PM
MO-K-SAN2-4 : Is MLC Tracking Or Gating a Better Real-Time Correction Strategy? An Analysis of the TROG 15.01 Stereotactic Prostate Ablative Radiotherapy with KIM (SPARK) Trial
E.Hewson*D.NguyenR.O'BrienP.PoulsenJ.BoothP.Greer
T.EadeA.KneeboneG.HrubyT.MoodieA.Hayden
S.TurnerN.HardcastleS.SivaK.TaiJ.Martin
P.Keall
Monday
5:20 PM
MO-K-SAN2-5 : An Encoder-Decoder Based Convolutional Neural Network (ED-CNN) for PET Image Response Prediction Using Pre-RT Information: A Feasibility of Oropharynx Cancer IMRT
Y.Chang*K.LafataC.LiuC.WangY.CuiL.Ren
X.LiY.MoweryD.BrizelF.Yin
Monday
5:30 PM
MO-K-SAN2-6 : Pediatric Radiation Oncology with Movie Induced Sedation Effect (PROMISE) Radiation Therapy
T.Chiu*H.LiuM.JooD.ParsonsK.KumarT.Dan
S.JiangX.Gu
Monday
5:40 PM
MO-K-SAN2-7 : Multi-Objective Ensemble Deep Learning for Predicting Outcome After Lung Cancer Radiotherapy Using Electronic Health Records
R.Wang*Y.WengZ.ZhouL.ChenJ.Wang
Monday
5:50 PM
MO-K-SAN2-8 : Real-Time Cherenkov Imaging of Whole Breast Radiotherapy for Verification with the Treatment Plan
M.Jermyn*R.HachadorianL.JarvisW.WareD.GladstoneB.Pogue